CN102752604A - Image display method and intelligent device - Google Patents
Image display method and intelligent device Download PDFInfo
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Abstract
The invention provides an image display method and an intelligent device and is applicable to the field of image processing. The method comprises the steps of converting one frame of red green and blue (RGB) video signals into luma and chroma (YUV) video signals; calculating input gray value distribution of luminance Y signals, revising the luminance Y signals of the video signal according to statistical results; determining luminance difference value before and after revising the luminance Y signals, adjusting chroma UV signals of the video signals according to the luminance difference value, a preset chroma threshold value, a preset first scale factor or preset second scale factor, wherein the preset first scale factor and the preset second scale factor are both larger than 0; and outputting and displaying the video signal after adjusting luminance and color. An embodiment of the image display method and the intelligent device can improve visual sense of a user and improves good experience of the user.
Description
Technical field
The invention belongs to image processing field, relate in particular to a kind of method for displaying image and smart machine.
Background technology
Along with growth in the living standard; The consumer is gradually rational to choosing of smart machine; Quality requirements to smart machine is also increasingly high, is in particular in that the requirement of the aspects such as picture contrast, colour, definition and response time that smart machine is shown improves gradually.
Traditional improve that the liquid crystal display contrast enhancement algorithms has linear stretch or based on the histogram pulling method (promptly entire image being carried out histogram equalization) of the overall situation; Though these methods can fast and effeciently promote the overall contrast of picture, can bring such as undesirable average brightness variation, saturated or negative effects such as slicing or details in a play not acted out on stage, but told through dialogues loss in detail; And present colored intensifier circuit is mostly dumb, or is through linear stretch, or colourity UV signal is carried out nonlinear optimization, searches through two-dimensional look-up table again.All these methods or being independent of luminance component adjusts chromatic component, otherwise being divided into several sections by brightness comes manual stretching color saturations.Owing to do not consider therefore to cause the visual experience variation because of non-linear raising causes the factitious problem of color saturation to the luminance component of signal in the image enhancement processing process.
Summary of the invention
The embodiment of the invention provides a kind of method for displaying image, is intended to solve the problem of existing method visual experience difference when display image.
The embodiment of the invention is achieved in that a kind of method for displaying image, and said method comprises the steps:
Convert a frame RGB rgb video signal that receives into brightness and color yuv video signal;
The grey value profile of the brightness Y-signal of statistics input, and according to the brightness Y-signal of statistics correcting video signal;
Confirm the luminance difference of brightness Y-signal correction front and back; According to the color UV signal of said luminance difference, preset color threshold value, preset first proportionality coefficient or preset second proportionality coefficient adjustment vision signal, said preset first proportionality coefficient, preset second proportionality coefficient are all greater than 0;
Output and display brightness and the adjusted vision signal of color.
Another purpose of the embodiment of the invention is to provide a kind of smart machine, and said smart machine comprises:
The vision signal converting unit is used for converting a frame RGB rgb video signal that receives into brightness and color yuv video signal;
Contrast is optimized the unit, is used to add up the grey value profile of the brightness Y-signal of input, and according to the brightness Y-signal of statistics correcting video signal;
The color optimization unit; Be used for confirming the luminance difference of brightness Y-signal correction front and back; According to the color UV signal of said luminance difference, preset color threshold value, preset first proportionality coefficient or preset second proportionality coefficient adjustment vision signal, said preset first proportionality coefficient, preset second proportionality coefficient are all greater than 0;
The vision signal output unit is used for output and display brightness and the adjusted vision signal of color.
In embodiments of the present invention, convert the brightness and the color of the vision signal of yuv format into through adjustment, make the corresponding image comparison distinctness of vision signal of output, color is saturated, thereby improves user's visual experience, improves user's good experience.
Description of drawings
Fig. 1 is the flow chart of a kind of method for displaying image of providing of first embodiment of the invention;
Fig. 2 is the grey level histogram that generates according to the brightness Y-signal of certain frame video signal that first embodiment of the invention provides;
Fig. 3 is the transfer function of the brightness of raising that first embodiment of the invention the provides pixel that is positioned at highlight bar;
Fig. 4 is the brightness that both improves highlight bar that first embodiment of the invention provides, and reduces the transfer function of the brightness in low clear zone again;
Fig. 5 is the transfer function that only reduces the brightness of hanging down the clear zone image that first embodiment of the invention provides;
Fig. 6 is the structure chart of a kind of smart machine of providing of second embodiment of the invention;
Fig. 7 is the structure chart of second kind of smart machine providing of second embodiment of the invention;
Fig. 8 shows the structure of the third smart machine that third embodiment of the invention provides.
Embodiment
In order to make the object of the invention, technical scheme and advantage clearer,, the present invention is further elaborated below in conjunction with accompanying drawing and embodiment.Should be appreciated that specific embodiment described herein only in order to explanation the present invention, and be not used in qualification the present invention.
In the embodiment of the invention; The one frame RGB rgb video signal that at first will receive converts brightness and color yuv video signal into; Add up the grey value profile of the brightness Y-signal of input again; And according to the brightness Y-signal of statistics correcting video signal; Confirm the luminance difference of brightness Y-signal before and after proofreading and correct, according to the color UV signal of this luminance difference, preset color threshold value, preset first proportionality coefficient or preset second proportionality coefficient adjustment vision signal, output and display brightness and the adjusted vision signal of color at last.
It is a kind of that the embodiment of the invention provides: method for displaying image and smart machine.
Said method comprises: a frame RGB rgb video signal that will receive converts brightness and color yuv video signal into;
The grey value profile of the brightness Y-signal of statistics input, and according to the brightness Y-signal of statistics correcting video signal;
Confirm the luminance difference of brightness Y-signal correction front and back; According to the color UV signal of said luminance difference, preset color threshold value, preset first proportionality coefficient or preset second proportionality coefficient adjustment vision signal, said preset first proportionality coefficient, preset second proportionality coefficient are all greater than 0;
Output and display brightness and the adjusted vision signal of color.
Said equipment comprises: the vision signal converting unit is used for converting a frame RGB rgb video signal that receives into brightness and color yuv video signal;
Contrast is optimized the unit, is used to add up the grey value profile of the brightness Y-signal of input, and according to the brightness Y-signal of statistics correcting video signal;
The color optimization unit; Be used for confirming the luminance difference of brightness Y-signal correction front and back; According to the color UV signal of said luminance difference, preset color threshold value, preset first proportionality coefficient or preset second proportionality coefficient adjustment vision signal, said preset first proportionality coefficient, preset second proportionality coefficient are all greater than 0;
The vision signal output unit is used for output and display brightness and the adjusted vision signal of color.
In embodiments of the present invention, convert the brightness and the color of the vision signal of yuv format into through adjustment, make the corresponding image comparison distinctness of vision signal of output, color is saturated, thereby improves user's visual experience, improves user's good experience.
For technical scheme of the present invention is described, describe through specific embodiment below.
Embodiment one:
Fig. 1 shows the flow process of a kind of method for displaying image that first embodiment of the invention provides, and details are as follows:
Step S11 converts a frame RGB rgb video signal that receives into brightness and color yuv video signal.
In the present embodiment, (Red Gree Blue, RGB) vision signal of form converts the vision signal of brightness and color yuv format into to the frame RGB that smart machine will receive, and is convenient to follow-up processing.The Y here representes the luminance component of vision signal, and U and V represent the color component of vision signal.
Step S12, the grey value profile of the brightness Y-signal of statistics input, and according to the brightness Y-signal of statistics correcting video signal.
In the present embodiment, the number of the pixel of every kind of gray scale in the frame video signal of statistics input can be known the grey value profile of the brightness Y-signal in this frame video signal according to statistics, and according to the brightness Y-signal of statistics correcting video signal.For the ease of checking; Usually the brightness Y-signal to the vision signal of importing generates grey level histogram; In the grey level histogram that generates, trunnion axis is represented brightness value, and vertical axis representes to have the quantity of the pixel of given brightness value; As shown in Figure 2, it shows the grey level histogram according to the brightness Y-signal generation of certain frame video signal.Wherein, grey level histogram can use field programmable gate array (Field Programmable Gate Array, FPGA) generation.
Step S13 confirms the luminance difference of brightness Y-signal before and after proofreading and correct, according to the color UV signal of this luminance difference, preset color threshold value, preset first proportionality coefficient or preset second proportionality coefficient adjustment vision signal.
Wherein, first proportionality coefficient of presetting, the second preset proportionality coefficient are all greater than 0; Brightness Y-signal after luminance difference equals to proofread and correct deducts the brightness Y-signal before proofreading and correct; Preset color threshold value is rule of thumb set; In the present embodiment,, avoided image bigger color saturation loss to occur through color-values is carried out corresponding compensation.
Step S14, output and display brightness and the adjusted vision signal of color.
In the present embodiment, after the brightness and color of adjustment vision signal, output and display brightness and the adjusted vision signal of color.Certainly, because the form of smart machine video signal displayed RGB form normally, show again after therefore can the vision signal of brightness and the adjusted yuv format of color being converted into rgb format, repeat no more here.
In embodiments of the present invention, convert the brightness and the color of the vision signal of yuv format into through adjustment, make the corresponding image comparison distinctness of vision signal of output, color is saturated, thereby improves user's visual experience, improves user's good experience.
As a preferred embodiment, before the step of the grey value profile of the brightness Y-signal of this statistics input, further comprise step:
Fragmentation threshold according to preset is divided into low clear zone, middle clear zone and three brightness ranges of highlight bar with the brightness value between 0 to 255.
In the present embodiment; But preset fragmentation threshold User Defined, three brightness ranges of dividing according to preset fragmentation threshold can have overlapping brightness value, also can not have; And more level and smooth according to the contrast of brightness range adjustment with overlapping brightness value, more naturally.
Illustrate the process of dividing three brightness ranges below:
In the present example, have overlapping brightness value in three of division brightness ranges.Brightness degree with 0 to 255 is divided into 32 grades, and in 256 brightness values, 256 * 0% to 256 * 40% brightness range is low clear zone, corresponding 1-13 level; 256 * 30% to 256 * 70% brightness range is middle clear zone, corresponding 9-23 level; 256 * 60% to 256 * 100% brightness range is a highlight bar, corresponding 19-23 level.
As a preferred embodiment, the grey value profile of the brightness Y-signal of this statistics input, and specifically comprise according to the step of the brightness Y-signal of statistics correcting video signal:
The grey value profile of brightness Y-signal in one frame video signal of A1, statistics input, which of three brightness ranges be most of pixel of judging a frame video signal of this input be arranged in.In the present embodiment, the pixel of three brightness ranges is accumulated summation, and judge the pixel accumulation and the maximum of which brightness range, mainly concentrate on which brightness range with the pixel of judging entire image whereby.
A2, when most of pixel of a frame video signal of this input is positioned at low clear zone, the brightness that only improves the pixel that is positioned at highlight bar.In the present embodiment, when most of pixel of judging vision signal is positioned at low clear zone, the brightness that only improves the pixel of highlight bar.Improve the brightness in low clear zone if this is, visually can make image atomizing, forfeiture color, seem dusky; And reducing the brightness in low clear zone, a large amount of details are lost in the low clear zone that then can cause accounting for the image major part; The method that increases the gain of low clear zone is inadvisable equally, and it can strengthen the less interference between pixels of relative value, thereby the intrinsic noise of enlarged image makes image present graininess.And on geometric scale, only accounting for the very high bright parts of zonule; Human eye is to a spot of information dropout and insensitive; Therefore can strengthen relative brighter part in the image, so not only can keep the integral image sensation, and make key position more outstanding and clear.Wherein, it is specifically as shown in Figure 3 that present embodiment improves the transfer function of brightness of the pixel be positioned at highlight bar, and the TF1 of Fig. 3 refers to improve the transfer function of the brightness of the pixel that is positioned at highlight bar.
A3, when most of pixel of a frame video signal of this input is arranged in the clear zone, improve the brightness of the pixel that is positioned at highlight bar, reduce the brightness of the pixel that is positioned at low clear zone simultaneously.In the present embodiment, when most of pixel of judging vision signal is arranged in the clear zone, the brightness that had both improved highlight bar; Reduce the brightness in low clear zone again; The Luminance Distribution in clear zone in can't influencing makes that promptly bright zone is brighter in the image, and dark zone is darker.Wherein, present embodiment had both improved the brightness of highlight bar, and the transfer function that reduces the brightness of hanging down the clear zone again is specifically as shown in Figure 4, and the TF2 of Fig. 4 refers to both improve the brightness of highlight bar, reduced the transfer function of the brightness in low clear zone again.
A4, when most of pixel of a frame video signal of this input is positioned at highlight bar, only reduce and be positioned at the wherein brightness of the pixel in low clear zone.In the present embodiment, when most of pixel of judging vision signal is positioned at highlight bar, only reduce the brightness of low clear zone image, do not change the brightness of highlight bar as far as possible.Through reducing these on a small quantity than the brightness value of dark pixel; Beholder's visual attention can be directed to that part of zone that action takes place on the screen; Though this can cause the loss of a small amount of dark space details, and insensitive, and can clearly perceive the enhancing of contrast on the human eye vision.Wherein, it is specifically as shown in Figure 5 that present embodiment only reduces the transfer function of brightness of low clear zone image, and the TF3 of Fig. 5 refers to only reduce the transfer function of the brightness of hanging down the clear zone image.
As a preferred embodiment; Should confirm the luminance difference of brightness Y-signal before and after proofreading and correct, specifically comprise according to the step of the color UV signal of this luminance difference, preset color threshold value, preset first proportionality coefficient or preset second proportionality coefficient adjustment vision signal:
B1, confirm the luminance difference of brightness Y-signal before and after proofreading and correct, and judge that whether this luminance difference is greater than 0.B2, if luminance difference greater than 0; Judge that whether color UV signal is less than preset color threshold value in the frame video signal of importing; If color UV signal is less than preset color threshold value in the frame video signal of input, confirm the color UV signal of output according to the color UV signal of luminance difference, preset first proportionality coefficient and input; Otherwise; If color UV signal is more than or equal to preset color threshold value in the frame video signal of input; Then confirm the color UV signal of output according to the color UV signal of luminance difference, preset second proportionality coefficient and input, this second preset proportionality coefficient is greater than the first preset proportionality coefficient.B3, if luminance difference be less than or equal to 0, the color UV signal of output for the input color UV signal.
In the present embodiment, do not have gain or gain to be negative pixel for brightness, its color saturation can not descend; So select not adjust its color-values; There is the pixel of gain then to divide two kinds of situation for brightness, the color of pixel set the color threshold value: if the color-values of pixel itself is then selected the first less proportionality coefficient less than the color threshold value according to experience; Otherwise, select the second bigger proportionality coefficient.Can guarantee that like this color saturation of image obtains the enhancing of proper proportion.Wherein, the first preset proportionality coefficient can be made as: (△ Y * Y)/(△ Y+Y), this △ Y is a luminance difference, and Y is the preceding brightness value of adjustment; The second preset proportionality coefficient can be made as: (△ Y * Y ')/(△ Y+Y '), this Y ' is adjusted brightness value.
As a preferred embodiment,
This color UV signal according to luminance difference, preset first proportionality coefficient and input confirms that the step of the color UV signal of output is specially:
UV (out)=△ Y/F (a) * UV (in); Wherein, △ Y is a luminance difference, and F (a) is the first preset proportionality coefficient, and UV (in) is the chrominance signal of input, and UV (out) is the chrominance signal of output.
This color UV signal according to luminance difference, preset second proportionality coefficient and input confirms that the step of the color UV signal of output is specially:
UV (out)=△ Y/F (b) * UV (in); Wherein, △ Y is a luminance difference, and F (b) is the second preset proportionality coefficient, and UV (in) is the chrominance signal of input, and UV (out) is the chrominance signal of output.
In the present embodiment, the brightness before the adjustment is Y, and its nominal range is 16 to 235, and black table is shown 16, and white is expressed as 235; The nominal range of U and V is 16 to 240.If △ Y is greater than 0, and the chrominance signal UV of input is less than preset color threshold value, and the first preset proportionality coefficient is made as: (△ Y * Y)/(△ Y+Y); When Y when 165 are thus lifted to 200, the U of output is: (1+35/165) * U of input, for fear of cross-color; In like manner; The V of output is the V of (1+35/165) * input, if the U of output or the V of output have exceeded 16 to 240 scope, and the U that the U that then exports and the V of output equal to import and the V of input.
Embodiment two:
Fig. 6 shows the structure of a kind of smart machine that second embodiment of the invention provides, and for the ease of explanation, only shows the part relevant with the embodiment of the invention.
This smart machine can be used for through the various information processing terminals wired or wireless network Connection Service device; For example mobile phone, pocket computer (Pocket Personal Computer; PPC), palmtop PC, computer, notebook computer, personal digital assistant (Personal Digital Assistant, PDA) etc.
This smart machine comprises: vision signal converting unit 61, contrast are optimized unit 62, color optimization unit 63, vision signal output unit 64.Wherein:
Vision signal converting unit 61 is used for converting a frame RGB rgb video signal that receives into brightness and color yuv video signal.
The Y of present embodiment representes the luminance component of vision signal, and U and V represent the color component of vision signal.
Contrast is optimized unit 62, is used to add up the grey value profile of the brightness Y-signal of input, and according to the brightness Y-signal of statistics correcting video signal.
In the present embodiment, the grey value profile of the brightness Y-signal in the frame video signal is to obtain through the number of adding up the pixel of every kind of gray scale in the frame video signal of importing.For the ease of checking, the brightness Y-signal to the vision signal of importing generates grey level histogram usually, and wherein, grey level histogram can use field programmable gate array, and (Field Programmable Gate Array FPGA) produces.
In the present embodiment, the first preset proportionality coefficient, the second preset proportionality coefficient are all greater than 0; Brightness Y-signal after luminance difference equals to proofread and correct deducts the brightness Y-signal before proofreading and correct; Preset color threshold value is rule of thumb set.
Vision signal output unit 64 is used for output and display brightness and the adjusted vision signal of color.
In the present embodiment, can the vision signal of brightness and the adjusted yuv format of color be converted into rgb format and show again afterwards.
In embodiments of the present invention, convert the brightness and the color of the vision signal of yuv format into through adjustment, make the corresponding image comparison distinctness of vision signal of output, color is saturated, thereby improves user's visual experience, improves user's good experience.
Fig. 7 shows second kind of structure of smart machine, and as a preferred embodiment, this smart machine is optimized unit 62, color optimization unit 63, the vision signal output unit 64 except comprising vision signal converting unit 61, contrast, also comprises:
Luminance area division unit 65 is used for according to preset fragmentation threshold the brightness value between 0 to 255 being divided into low clear zone, middle clear zone and three brightness ranges of highlight bar.
In the present embodiment; But preset fragmentation threshold User Defined, three brightness ranges of dividing according to preset fragmentation threshold can have overlapping brightness value, also can not have; And more level and smooth according to the contrast of brightness range adjustment with overlapping brightness value, more naturally.
Embodiment three:
Fig. 8 shows the structure of the third smart machine that third embodiment of the invention provides, and for the ease of explanation, only shows the part relevant with the embodiment of the invention.
In the present embodiment, this smart machine comprises vision signal converting unit 61, contrast optimization unit 62, color optimization unit 63, vision signal output unit 64, and wherein contrast optimization unit 62 comprises:
Luminance area judge module 621 is used for adding up the grey value profile of a frame video signal brightness Y-signal of input, and which of three brightness ranges be most of pixel of judging a frame video signal of this input be arranged in.
In the present embodiment, the pixel of three brightness ranges is accumulated summation, and judge the pixel accumulation and the maximum of which brightness range, mainly concentrate on which brightness range with the pixel of judging entire image whereby.
The first brightness adjusting module 622, when being used for most of pixel at a frame video signal of this input and being positioned at low clear zone, the brightness that only improves the pixel that is positioned at highlight bar.
The second brightness adjusting module 623 is used for when most of pixel of a frame video signal of this input is positioned at the clear zone, improving the brightness of the pixel that is positioned at highlight bar, reduces the brightness of the pixel that is positioned at low clear zone simultaneously.
The 3rd brightness adjusting module 624 is used for when most of pixel of a frame video signal of this input is positioned at highlight bar, only reduces the brightness of the pixel that is positioned at low clear zone.
In the present embodiment; Most of pixel of analyzing vision signal is arranged in which district of low clear zone, clear zone, highlight bar, again according to analysis result, and the brightness Y-signal of adjustment vision signal; Thereby not only can keep the integral image sensation, and make key position more outstanding and clear.
As a preferred embodiment, this color optimization unit 63 comprises:
Luminance difference judge module 631 is used for confirming the luminance difference of brightness Y-signal correction front and back, and judges that whether this luminance difference is greater than 0.
The first color adjusting module 632; Be used in luminance difference greater than 0 o'clock; Judge that whether color UV signal is less than preset color threshold value in the frame video signal of importing; If color UV signal is less than preset color threshold value in the frame video signal of input, confirm the color UV signal of output according to the color UV signal of luminance difference, preset first proportionality coefficient and input.Otherwise; If color UV signal is more than or equal to preset color threshold value in the frame video signal of input; Then confirm the color UV signal of output according to the color UV signal of luminance difference, preset second proportionality coefficient and input, this second preset proportionality coefficient is greater than the first preset proportionality coefficient.
The second color adjusting module 633 is used for being less than or equal at 0 o'clock in luminance difference, and the color UV signal of output is the color UV signal of input.
In the present embodiment; There are not gain or gain to be negative pixel for brightness; Its color saturation can not descend, so select not adjust its color-values, has the pixel of gain then to divide two kinds of situation for brightness; According to experience the color of pixel is set the color threshold value, can guarantee that like this color saturation of image obtains the enhancing of proper proportion.Wherein, the first preset proportionality coefficient can be made as: (△ Y * Y)/(△ Y+Y), this △ Y is a luminance difference, and Y is the preceding brightness value of adjustment; The second preset proportionality coefficient can be made as: (△ Y * Y ')/(△ Y+Y '), this Y ' is adjusted brightness value.
As a preferred embodiment,
Greater than 0, and when color UV signal was less than preset color threshold value in the frame video signal of input, this first color adjusting module was confirmed the chrominance signal of output according to following formula in luminance difference:
UV(out)=△Y/F(a)*UV(in)。Wherein, △ Y is a luminance difference, and F (a) is the first preset proportionality coefficient, and UV (in) is the chrominance signal of input, and UV (out) is the chrominance signal of output.
Greater than 0, and when color UV signal was more than or equal to preset color threshold value in the frame video signal of input, this first color adjusting module was confirmed the chrominance signal of output according to following formula in luminance difference:
UV(out)=△Y/F(b)*UV(in)。Wherein, △ Y is a luminance difference, and F (b) is the second preset proportionality coefficient, and UV (in) is the chrominance signal of input, and UV (out) is the chrominance signal of output.
The above is merely preferred embodiment of the present invention, not in order to restriction the present invention, all any modifications of within spirit of the present invention and principle, being done, is equal to and replaces and improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. a method for displaying image is characterized in that, said method comprises the steps:
Convert a frame RGB rgb video signal that receives into brightness and color yuv video signal;
The grey value profile of the brightness Y-signal of statistics input, and according to the brightness Y-signal of statistics correcting video signal;
Confirm the luminance difference of brightness Y-signal correction front and back; According to the color UV signal of said luminance difference, preset color threshold value, preset first proportionality coefficient or preset second proportionality coefficient adjustment vision signal, said preset first proportionality coefficient, preset second proportionality coefficient are all greater than 0;
Output and display brightness and the adjusted vision signal of color.
2. the method for claim 1 is characterized in that, before the step of the grey value profile of the brightness Y-signal of said statistics input, further comprises step:
Fragmentation threshold according to preset is divided into low clear zone, middle clear zone and three brightness ranges of highlight bar with the brightness value between 0 to 255.
3. method as claimed in claim 2 is characterized in that, the grey value profile of the brightness Y-signal of said statistics input, and specifically comprise according to the step of the brightness Y-signal of statistics correcting video signal:
The grey value profile of brightness Y-signal in one frame video signal of statistics input, which of three brightness ranges be most of pixel of judging a frame video signal of said input be arranged in;
When most of pixel of a frame video signal of said input is positioned at low clear zone, the brightness that only improves the pixel that is positioned at highlight bar;
When most of pixel of a frame video signal of said input is arranged in the clear zone, improve the brightness of the pixel that is positioned at highlight bar, reduce the brightness of the pixel that is positioned at low clear zone simultaneously;
When most of pixel of a frame video signal of said input is positioned at highlight bar, only reduce the brightness of the pixel that is positioned at low clear zone.
4. the method for claim 1; It is characterized in that; Luminance difference before and after said definite brightness Y-signal is proofreaied and correct specifically comprises according to the step of the color UV signal of said luminance difference, preset color threshold value, preset first proportionality coefficient or preset second proportionality coefficient adjustment vision signal:
Confirm the luminance difference of brightness Y-signal correction front and back, and judge that whether said luminance difference is greater than 0;
If luminance difference is greater than 0; Judge that whether color UV signal is less than preset color threshold value in the frame video signal of importing; If color UV signal is less than preset color threshold value in the frame video signal of input, confirm the color UV signal of output according to the color UV signal of luminance difference, preset first proportionality coefficient and input; Otherwise; If color UV signal is more than or equal to preset color threshold value in the frame video signal of input; Then confirm the color UV signal of output according to the color UV signal of luminance difference, preset second proportionality coefficient and input, the said second preset proportionality coefficient is greater than the first preset proportionality coefficient;
If luminance difference is less than or equal to 0, the color UV signal of output is the color UV signal of input.
5. method as claimed in claim 4 is characterized in that,
Said color UV signal according to luminance difference, preset first proportionality coefficient and input confirms that the step of the color UV signal of output is specially:
UV (out)=△ Y/F (a) * UV (in); Wherein, △ Y is a luminance difference, and F (a) is the first preset proportionality coefficient, and UV (in) is the chrominance signal of input, and UV (out) is the chrominance signal of output;
Said color UV signal according to luminance difference, preset second proportionality coefficient and input confirms that the step of the color UV signal of output is specially:
UV (out)=△ Y/F (b) * UV (in); Wherein, △ Y is a luminance difference, and F (b) is the second preset proportionality coefficient, and UV (in) is the chrominance signal of input, and UV (out) is the chrominance signal of output.
6. a smart machine is characterized in that, said smart machine comprises:
The vision signal converting unit is used for converting a frame RGB rgb video signal that receives into brightness and color yuv video signal;
Contrast is optimized the unit, is used to add up the grey value profile of the brightness Y-signal of input, and according to the brightness Y-signal of statistics correcting video signal;
The color optimization unit; Be used for confirming the luminance difference of brightness Y-signal correction front and back; According to the color UV signal of said luminance difference, preset color threshold value, preset first proportionality coefficient or preset second proportionality coefficient adjustment vision signal, said preset first proportionality coefficient, preset second proportionality coefficient are all greater than 0;
The vision signal output unit is used for output and display brightness and the adjusted vision signal of color.
7. smart machine as claimed in claim 6 is characterized in that, said smart machine comprises:
The luminance area division unit is used for according to preset fragmentation threshold the brightness value between 0 to 255 being divided into low clear zone, middle clear zone and three brightness ranges of highlight bar.
8. smart machine as claimed in claim 7 is characterized in that, said contrast is optimized the unit and comprised:
The luminance area judge module is used for adding up the grey value profile of a frame video signal brightness Y-signal of input, and which of three brightness ranges be most of pixel of judging a frame video signal of said input be arranged in;
The first brightness adjusting module, when being used for most of pixel at a frame video signal of said input and being positioned at low clear zone, the brightness that only improves the pixel that is positioned at highlight bar;
The second brightness adjusting module is used for when most of pixel of a frame video signal of said input is positioned at the clear zone, improving the brightness of the pixel that is positioned at highlight bar, reduces the brightness of the pixel that is positioned at low clear zone simultaneously;
The 3rd brightness adjusting module is used for when most of pixel of a frame video signal of said input is positioned at highlight bar, only reduces the brightness of the pixel that is positioned at low clear zone.
9. smart machine as claimed in claim 6 is characterized in that, said color optimization unit comprises:
The luminance difference judge module is used for confirming the luminance difference of brightness Y-signal correction front and back, and judges that whether said luminance difference is greater than 0;
The first color adjusting module; Be used in luminance difference greater than 0 o'clock; Judge that whether color UV signal is less than preset color threshold value in the frame video signal of importing; If color UV signal is less than preset color threshold value in the frame video signal of input, confirm the color UV signal of output according to the color UV signal of luminance difference, preset first proportionality coefficient and input; Otherwise; If color UV signal is more than or equal to preset color threshold value in the frame video signal of input; Then confirm the color UV signal of output according to the color UV signal of luminance difference, preset second proportionality coefficient and input, the said second preset proportionality coefficient is greater than the first preset proportionality coefficient;
The second color adjusting module is used for being less than or equal at 0 o'clock in luminance difference, and the color UV signal of output is the color UV signal of input.
10. smart machine as claimed in claim 9 is characterized in that,
Greater than 0, and when color UV signal was less than preset color threshold value in the frame video signal of input, the said first color adjusting module was confirmed the chrominance signal of output according to following formula in luminance difference:
UV (out)=△ Y/F (a) * UV (in); Wherein, △ Y is a luminance difference, and F (a) is the first preset proportionality coefficient, and UV (in) is the chrominance signal of input, and UV (out) is the chrominance signal of output;
Greater than 0, and when color UV signal was more than or equal to preset color threshold value in the frame video signal of input, the said first color adjusting module was confirmed the chrominance signal of output according to following formula in luminance difference:
UV (out)=△ Y/F (b) * UV (in); Wherein, △ Y is a luminance difference, and F (b) is the second preset proportionality coefficient, and UV (in) is the chrominance signal of input, and UV (out) is the chrominance signal of output.
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| HK1174173A1 (en) | 2013-05-31 |
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